Thesis
Network synchronization and distributed sleep
Washington State University
Master of Science (MS), Washington State University
2011
Handle:
https://hdl.handle.net/2376/104389
Abstract
This thesis is focused on synchronization in networks that are subject to stochastic disturbances/inputs. First, a linear network model is used to analytically characterize the strength of synchronization under stochastic stimulation, as well as the receptiveness of the network dynamics to stimulation trends. The insights from this simple linear model provide a framework for characterizing a more complex non-linear model for use-dependent distributed sleep, which can be viewed as network synchronization process subject to external stimulation. The results from this analysis are then compared with experimental data from a network of neurons grown on a multi-electrode array (which permits stimulation and measurement). A key finding is that certain specially-structured networks with intermediate and heterogeneous interaction strengths can maintain strong synchronization in the face of stochastic stimulations, while also permitting certain critical stimulation inputs to differentially modulate the synchronization state.
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Details
- Title
- Network synchronization and distributed sleep
- Creators
- Patrick Corrigan
- Contributors
- Sandip Roy (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; Pullman, Wash. :
- Identifiers
- 99900525122501842
- Language
- English
- Resource Type
- Thesis